Quantifying patterns of joint attention during human-robot interactions: An application for autism spectrum disorder assessment

•We explore Joint Attention by introducing a set of behavioural metrics based on RGB-D data analysis.•We elicit Joint Attention through the use of a small humanoid robot.•We assess these metrics by comparing the behaviour of 42 ASD children with 16 TD children.•We highlight significant differences b...

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Veröffentlicht in:	Pattern recognition letters Jg. 118; S. 42 - 50
Hauptverfasser:	Anzalone, Salvatore Maria, Xavier, Jean, Boucenna, Sofiane, Billeci, Lucia, Narzisi, Antonio, Muratori, Filippo, Cohen, David, Chetouani, Mohamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.02.2019 Elsevier Science Ltd Elsevier
Schlagworte:	Artificial Intelligence Autism Autism spectrum disorder Behavioural analysis Children Computer Science Data processing Head movement Humanoid Robots Social robotics Subgroups Training Behavioural analysis 41A10 65D05 65D17 Social robotics 41A05 Autism spectrum disorder
ISSN:	0167-8655, 1872-7344
Online-Zugang:	Volltext
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